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Covariation of brain and skull shapes as a model to understand the role of crosstalk in development and evolution
Covariation among discrete phenotypes can arise due to selection for shared functions, and/or shared genetic and developmental underpinnings. The consequences of such phenotypic integration are far‐reaching and can act to either facilitate or limit morphological variation. The vertebrate brain is kn...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9839637/ https://www.ncbi.nlm.nih.gov/pubmed/36377237 http://dx.doi.org/10.1111/ede.12421 |
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author | Conith, Andrew J. Hope, Sylvie A. Albertson, R. Craig |
author_facet | Conith, Andrew J. Hope, Sylvie A. Albertson, R. Craig |
author_sort | Conith, Andrew J. |
collection | PubMed |
description | Covariation among discrete phenotypes can arise due to selection for shared functions, and/or shared genetic and developmental underpinnings. The consequences of such phenotypic integration are far‐reaching and can act to either facilitate or limit morphological variation. The vertebrate brain is known to act as an “organizer” of craniofacial development, secreting morphogens that can affect the shape of the growing neurocranium, consistent with roles for pleiotropy in brain–neurocranium covariation. Here, we test this hypothesis in cichlid fishes by first examining the degree of shape integration between the brain and the neurocranium using three‐dimensional geometric morphometrics in an F(5) hybrid population, and then genetically mapping trait covariation using quantitative trait loci (QTL) analysis. We observe shape associations between the brain and the neurocranium, a pattern that holds even when we assess associations between the brain and constituent parts of the neurocranium: the rostrum and braincase. We also recover robust genetic signals for both hard‐ and soft‐tissue traits and identify a genomic region where QTL for the brain and braincase overlap, implicating a role for pleiotropy in patterning trait covariation. Fine mapping of the overlapping genomic region identifies a candidate gene, notch1a, which is known to be involved in patterning skeletal and neural tissues during development. Taken together, these data offer a genetic hypothesis for brain–neurocranium covariation, as well as a potential mechanism by which behavioral shifts may simultaneously drive rapid change in neuroanatomy and craniofacial morphology. |
format | Online Article Text |
id | pubmed-9839637 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98396372023-01-14 Covariation of brain and skull shapes as a model to understand the role of crosstalk in development and evolution Conith, Andrew J. Hope, Sylvie A. Albertson, R. Craig Evol Dev Research Articles Covariation among discrete phenotypes can arise due to selection for shared functions, and/or shared genetic and developmental underpinnings. The consequences of such phenotypic integration are far‐reaching and can act to either facilitate or limit morphological variation. The vertebrate brain is known to act as an “organizer” of craniofacial development, secreting morphogens that can affect the shape of the growing neurocranium, consistent with roles for pleiotropy in brain–neurocranium covariation. Here, we test this hypothesis in cichlid fishes by first examining the degree of shape integration between the brain and the neurocranium using three‐dimensional geometric morphometrics in an F(5) hybrid population, and then genetically mapping trait covariation using quantitative trait loci (QTL) analysis. We observe shape associations between the brain and the neurocranium, a pattern that holds even when we assess associations between the brain and constituent parts of the neurocranium: the rostrum and braincase. We also recover robust genetic signals for both hard‐ and soft‐tissue traits and identify a genomic region where QTL for the brain and braincase overlap, implicating a role for pleiotropy in patterning trait covariation. Fine mapping of the overlapping genomic region identifies a candidate gene, notch1a, which is known to be involved in patterning skeletal and neural tissues during development. Taken together, these data offer a genetic hypothesis for brain–neurocranium covariation, as well as a potential mechanism by which behavioral shifts may simultaneously drive rapid change in neuroanatomy and craniofacial morphology. John Wiley and Sons Inc. 2022-11-14 2023-01 /pmc/articles/PMC9839637/ /pubmed/36377237 http://dx.doi.org/10.1111/ede.12421 Text en © 2022 The Authors. Evolution & Development published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Conith, Andrew J. Hope, Sylvie A. Albertson, R. Craig Covariation of brain and skull shapes as a model to understand the role of crosstalk in development and evolution |
title | Covariation of brain and skull shapes as a model to understand the role of crosstalk in development and evolution |
title_full | Covariation of brain and skull shapes as a model to understand the role of crosstalk in development and evolution |
title_fullStr | Covariation of brain and skull shapes as a model to understand the role of crosstalk in development and evolution |
title_full_unstemmed | Covariation of brain and skull shapes as a model to understand the role of crosstalk in development and evolution |
title_short | Covariation of brain and skull shapes as a model to understand the role of crosstalk in development and evolution |
title_sort | covariation of brain and skull shapes as a model to understand the role of crosstalk in development and evolution |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9839637/ https://www.ncbi.nlm.nih.gov/pubmed/36377237 http://dx.doi.org/10.1111/ede.12421 |
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